{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f9af6d23b93b41ed99f1a12ce4d88e8e\" frameborder=\"0\" width=\"1808\" height=\"1356\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1356,"width":1808,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1356,"thumbnail_width":1808,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f9af6d23b93b41ed99f1a12ce4d88e8e-0e5baf359b8e2c57.gif","duration":316.595,"title":"VibeFinder 2.0 Playlist Builder Demo 🎵","description":"I’m sharing VibeFinder 2.0, an enchanting workflow I built by extending my Module 3 MagicRenderer Simulation. It loads 30 songs across 14 genres and first shows simple scoring for 3 user profiles getting their top 5 tracks, like HappyPotFan and ChillRuffyFan. Then a new agent turns plain English requests into playlists with an energy arc, for example workouts that start short and build up, and therapy style transitions that go high to low. I ran automated evaluators across 10 scenarios, with 10 independence passed and 96 percent average confluence. No direct viewer action was requested."}